2016
DOI: 10.1007/s11356-016-7171-6
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Spatiotemporal patterns and potential sources of polychlorinated biphenyl (PCB) contamination in Scots pine (Pinus sylvestris) needles from Europe

Abstract: Using pine needles as a bio-sampler of atmospheric contamination is a relatively cheap and easy method, particularly for remote sites. Therefore, pine needles have been used to monitor a range of semi-volatile contaminants in the air. In the present study, pine needles were used to monitor polychlorinated biphenyls (PCBs) in the air at sites with different land use types in Sweden (SW), Czech Republic (CZ), and Slovakia (SK). Spatiotemporal patterns in levels and congener profiles were investigated. Multivaria… Show more

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Cited by 6 publications
(2 citation statements)
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“…The underlying differential equation describing the concentration–time trend is where c denotes the concentration, t time, and k a rate constant, indicating a fraction of pollutant loss per unit of time. This corresponds to a situation of negligible emissions together with ongoing loss processes of the pollutants such as degradation, deposition, and transport. , …”
Section: Resultsmentioning
confidence: 99%
“…The underlying differential equation describing the concentration–time trend is where c denotes the concentration, t time, and k a rate constant, indicating a fraction of pollutant loss per unit of time. This corresponds to a situation of negligible emissions together with ongoing loss processes of the pollutants such as degradation, deposition, and transport. , …”
Section: Resultsmentioning
confidence: 99%
“…Although PCBs are still in limited use, their atmospheric levels have decreased over the globe. 7,[33][34][35][36][44][45][46][47] Active EMEP temporal trends for all six indicator PCBs show statistically signicant (p < 0.05) decreases at Birkenes, Košetice, Pallas, Råö and Zeppelin ranging from 2-20% per year. This is supported by similar and consistent decreases in the passive MONET trends for all PCBs and all sites ranging from 1-30% per year.…”
Section: Comparability Of Active and Passive Temporal Trendsmentioning
confidence: 99%